{"total":35,"rows":[{"id":"2501.00289","title":"Dual Diffusion for Unified Image Generation and Understanding","created":"2024-12-31","cited_by_count":76,"area":"mllm"},{"id":"2510.01711","title":"Contrastive Representation Regularization for Vision-Language-Action Models","created":"2025-10-02","cited_by_count":17,"area":"mllm"},{"id":"2410.22330","title":"Vision-Language Models Create Cross-Modal Task Representations","created":"2024-10-29","cited_by_count":15,"area":"mllm"},{"id":"2409.19425","title":"Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment","created":"2024-09-28","cited_by_count":12,"area":"mllm"},{"id":"2407.09541","title":"MATE: Meet At The Embedding -- Connecting Images with Long Texts","created":"2024-06-26","cited_by_count":10,"area":"mllm"},{"id":"2406.15534","title":"Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research","created":"2024-06-21","cited_by_count":9,"area":"mllm"},{"id":"2505.14071","title":"Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models","created":"2025-05-20","cited_by_count":9,"area":"mllm"},{"id":"2505.17316","title":"Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models","created":"2025-05-22","cited_by_count":9,"area":"mllm"},{"id":"2603.00510","title":"What Do Visual Tokens Really Encode? Uncovering Sparsity and Redundancy in Multimodal Large Language Models","created":"2026-02-28","cited_by_count":7,"area":"mllm"},{"id":"2410.13121","title":"Trust but Verify: Programmatic VLM Evaluation in the Wild","created":"2024-10-17","cited_by_count":5,"area":"mllm"},{"id":"2411.06764","title":"Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning","created":"2024-11-11","cited_by_count":4,"area":"mllm"},{"id":"2505.11029","title":"Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere","created":"2025-05-16","cited_by_count":4,"area":"mllm"},{"id":"2509.21997","title":"Exposing Hallucinations To Suppress Them: VLMs Representation Editing With Generative Anchors","created":"2025-09-26","cited_by_count":4,"area":"mllm"},{"id":"2510.16333","title":"RL makes MLLMs see better than SFT","created":"2025-10-18","cited_by_count":3,"area":"mllm"},{"id":"2511.20494","title":"Adversarial Confusion Attack: Disrupting Multimodal Large Language Models","created":"2025-11-25","cited_by_count":3,"area":"mllm"},{"id":"2409.01151","title":"Understanding Multimodal Hallucination with Parameter-Free Representation Alignment","created":"2024-09-02","cited_by_count":2,"area":"mllm"},{"id":"2509.18733","title":"Knowledge Transfer from Interaction Learning","created":"2025-09-23","cited_by_count":2,"area":"mllm"},{"id":"2512.06281","title":"Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models","created":"2025-12-06","cited_by_count":2,"area":"mllm"},{"id":"2601.21662","title":"Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching","created":"2026-01-29","cited_by_count":2,"area":"mllm"},{"id":"2503.18034","title":"Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models","created":"2025-03-23","cited_by_count":1,"area":"mllm"},{"id":"2509.22447","title":"Guiding Evolution of Artificial Life Using Vision-Language Models","created":"2025-09-26","cited_by_count":1,"area":"mllm"},{"id":"2606.14758","title":"Disentangling Hallucinations: Orthogonal Semantic Projection for Robust Interpretability","created":"2026-06-08","cited_by_count":1,"area":"mllm"},{"id":"2506.02242","title":"From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models","created":"2025-06-02","cited_by_count":0,"area":"mllm"},{"id":"2507.03542","title":"Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor","created":"2025-07-04","cited_by_count":0,"area":"mllm"},{"id":"2509.00700","title":"Prompt the Unseen: Evaluating Visual-Language Alignment Beyond Supervision","created":"2025-08-31","cited_by_count":0,"area":"mllm"},{"id":"2603.06459","title":"Do Foundation Models Know Geometry? Probing Frozen Features for Continuous Physical Measurement","created":"2026-03-06","cited_by_count":0,"area":"mllm"},{"id":"2603.16581","title":"V-DyKnow: A Dynamic Benchmark for Time-Sensitive Knowledge in Vision Language Models","created":"2026-03-17","cited_by_count":0,"area":"mllm"},{"id":"2604.14363","title":"The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models","created":"2026-04-15","cited_by_count":0,"area":"mllm"},{"id":"2606.01788","title":"PlatonicNav: Unveiling Semantic Correspondence in Navigation with Platonic Topological Maps","created":"2026-06-01","cited_by_count":0,"area":"mllm"},{"id":"2606.23885","title":"Mind the Heads: Topological Representation Alignment for Multimodal LLMs","created":"2026-06-22","cited_by_count":0,"area":"mllm"},{"id":"2606.26196","title":"From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models","created":"2026-06-24","cited_by_count":0,"area":"mllm"},{"id":"2607.03738","title":"Attending to Multimodal Generation One Token at a Time","created":"2026-07-04","cited_by_count":0,"area":"mllm"},{"id":"2608.04483","title":"Not All Redundant Tokens Are Alike: Analyzing Visual Token Pruning through Token Roles","created":"2026-08-05","cited_by_count":0,"area":"mllm"},{"id":"2609.37786","title":"CHOQOLATE: Organizing Concept Bottleneck Latent Spaces with Choquet Integrals","created":"2026-09-29","cited_by_count":0,"area":"mllm"},{"id":"2610.03289","title":"Architecture-Dependent Fusion Pathways in MLLMs","created":"2026-10-02","cited_by_count":0,"area":"mllm"}],"next_cursor":null}